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Improving simulators’ driving experience through objective metrics and subjective assessments
KTH, School of Engineering Sciences (SCI), Aeronautical and Vehicle Engineering, Vehicle Dynamics.
2018 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

 As the challenge grows in the vehicle industry, tightening the margins on financial and environmental costs of the vehicle development, computer aided engineering becomes more and more attractive. Extensive work is being invested in creating detailed models that can replicate vehicle behaviour accurately and efficiently. The work in this thesis starts with studying objective and subjective evaluations of vehicles as well as their counterparts in vehicle models and a simulator environment. Then, it continues to locate the weaknesses in the models, and investigate the possible improvements. The first part of the thesis focused on performing a literature study concerning the objective metrics and their use in the vehicle industry, as well as the use of simulators. This served as a foundation for the use of objective metrics in the validation of the CarRealTime models. The tools used in the thesis were also introduced. The work continued with the study of previously collected data concerning vehicle evaluation through subjective assessment and objective metrics, with different anti-roll bar configurations, to build trust in the ability of the drivers in evaluating these criteria. Similar data from the CarRealTime models and the simulator were also studied. The aim was to evaluate the simulator driving experience accuracy through the subjective assessment. The weaknesses of the model were identified, and an improved steering model was introduced, replacing the old lookup tables with a Pfeffer model from CarRealTime combined with the steering assist unit in Simulink. An extensive parameter study was performed to understand the effect of selected parameters on the driving experience. Using the same model, the simulator delays were studied in terms of replicating yaw and lateral movements, and how this can affect the driver’s perception of the driving experience. Finally, the results from the parameter study were used to assign the weight parameters in the optimization objective function where the goal was to study the possibility of improving the accuracy of the driving experience as well as counteracting the effects of simulator delays. The Matlab Optimization Toolkit was used in the process. As a conclusion, it was shown that the subjective assessment together with the objective metrics played a crucial role in identifying model and simulator weaknesses. The parameter study showed promising opportunities in solving the aforementioned issues, with the optimization tool and boundaries needing more elaborate work to reach conclusive results.

 

Place, publisher, year, edition, pages
2018. , p. 55
Series
TRITA-SCI-GRU ; 2018:389
National Category
Vehicle Engineering
Identifiers
URN: urn:nbn:se:kth:diva-243488OAI: oai:DiVA.org:kth-243488DiVA, id: diva2:1285800
External cooperation
Volvo Cars
Examiners
Available from: 2019-02-05 Created: 2019-02-05 Last updated: 2019-02-05Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
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Output format
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